About us

The 2nd Workshop on Graph-enhanced LLMs for trustwOrthy Web data management (GLOW) focuses on the intersection of Semantic Web technologies, Knowledge Graphs, and LLM-driven data-centric AI. The workshop aims to explore how graph-based representations can enhance the reliability, explainability, and trustworthiness of LLM-based systems.

Important Dates

Tue, Jul 14, 2026

Submission deadline

Tue, Aug 11, 2026

Author notification

Sun, Oct 25, 2026

Workshop start date

Paper Submission

Research Paper Submission Tracks

Detection and mitigation of hallucinations, bias, and misinformation in LLMs using graph-based techniques.

Property graphs as a foundation for profiling, reliability, and LLM-grounded reasoning.

Querying property graphs with natural language interfaces powered by LLMs.

LLMs as assistants for constructing and validating reliable knowledge graphs.

Agentic AI for structured reasoning and decision-making over graph-based knowledge.

Semantic Web standards for grounding and verifying LLM-generated outputs.

Ontology-based reasoning and neuro-symbolic approaches for trustworthy LLM-driven systems.

Integration of Knowledge Graphs for retrieval-augmented generation and fact-checking.

Applications of LLMs combined with Semantic Web technologies for reliable Web-scale data management, scientific knowledge representation, and enterprise knowledge graphs.

Evaluation benchmarks and metrics for reliability and trustworthiness in graph-enhanced LLMs.

Call for Papers Description

We invite research, industry, application contributions, and software demonstration submissions. Regular papers presenting original work and discussion papers containing descriptions of results already published are welcomed.